shikhartuli
PhD candidate at the Department of Electrical Engineering, Princeton University.
Princeton UniversityNJ, USA
Pinned Repositories
Apex
Adaptive Ext4 for data recovery optimisation using reinforcement learning .
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
acceltran
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
codebench
[TECS'23] A project on the co-design of Accelerators and CNNs.
txf_design-space
[JAIR'23] FlexiBERT tool for Transformer design space exploration.
cnn_txf_bias
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
covid-19-prediction
[IoT'20] Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing
nvmain
NVMain - An Architectural Level Main Memory Simulator for Emerging Non-Volatile Memories
rram-vac
[ASP-DAC'20] RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
shikhartuli.github.io
Website: https://stuli.me/
shikhartuli's Repositories
shikhartuli/cnn_txf_bias
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
shikhartuli/covid-19-prediction
[IoT'20] Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing
shikhartuli/nvmain
NVMain - An Architectural Level Main Memory Simulator for Emerging Non-Volatile Memories
shikhartuli/rram-vac
[ASP-DAC'20] RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
shikhartuli/shikhartuli.github.io
Website: https://stuli.me/
shikhartuli/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.